Part-time Machine Learning Instructor

21 hours ago

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Talent Acquisition • Career Development • Recruiting • HR stratergy • Talent Insights

2 - 10 employees

📚 Education

☁️ SaaS

🎯 Recruitment

Description

• Who are we, you ask? • Interviews can be hard, especially at top tech companies like Google, Facebook, and Netflix. • Many candidates fall short simply because they aren’t adequately prepared. • That’s where we come in. • Our acclaimed courses specialize in interview preparation and transitioning into high-demand tech fields such as AI, ML, and Data Science. • At Interview Kickstart, current and former hiring managers have guided over 17,000 tech professionals through transformative career journeys. • Think of us as “the everything store” for career transitions and interview skill development. • How do we do that, you ask? • We have a structured approach to interview success, which includes: • Career Accelerator Course • Comprehensive end-to-end courses and platform • A roster of over 600+ instructors from leading Silicon Valley companies • A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals. • We are looking for ML Engineers/Applied Scientists, SWEs (ML domain), with a strong passion for teaching to join us as part-time instructors to teach Machine Learning. • This role will provide opportunities to network with other experts, understand learner issues and contribute to the AI/ML community at large. • The instructor is responsible for assisting our subject matter expert with technical review and providing suggestions on the machine learning teaching curriculum. • Conduct lectures, workshops, and interactive sessions to teach machine learning principles, algorithms, and methodologies. • Staying current with the latest trends and advancements in machine learning and related fields. • Conducting research in machine learning and contributing to new techniques, models, or applications. • Constantly improve the session flow and delivery by working with other instructors, subject matter experts, and the IK team. • Help the IK team in onboarding and training other instructors and coaches. • Have regular discussions with IK’s curriculum team in evolving the curriculum. • Should be willing to work on weekends/evenings and be available as per the Pacific time zone.

Requirements

• Minimum five years of experience in tier-1 Tech companies as an ML Engineer or Scientist • Prepare engaging and well-structured content on one or more topics listed • Ability to simplify complex topics and explain them engagingly • High levels of empathy to understand challenges faced by students and willingness to help them • PhD in Computer Science/Applied Mathematics/Statistics is preferred.